Table 7.
The accuracy and the F-measure value for the best classifiers for acceleration data obtained from each location.
Strong—Light | Sudden—Sustained | Bound—Free | ||||
---|---|---|---|---|---|---|
Best classifier | Accuracy | Best classifier | Accuracy | Best classifier | Accuracy | |
F-measure | F-measure | F-measure | ||||
Chest | Random Forest | 72.35% | Random Forest | 87.51% | Random Forest | 85.81% |
0.722 | 0.875 | 0.8559 | ||||
Wrist | Random Forest | 83.05% | Random Forest | 84.34% | SVM | 87.31% |
0.8259 | 0.8422 | 0.8694 | ||||
Thigh | Bagging | 76.34% | K-Nearest | 75.39% | Boosting | 80.31% |
0.7566 | 0.7462 | 0.7877 |